Case study: Izoelektro smart grid monitoring
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The push towards more efficient and reliable energy distribution has highlighted the importance of addressing power grid vulnerabilities to preemptively prevent outages and infrastructure failures. In response to these challenges, Izoelektro, in collaboration with IRNAS, Arm, and Edge Impulse, developed the RAM-1, an innovative power grid monitoring device equipped with edge AI.
The RAM-1 is an Internet of Things (IoT) device that monitors power grids for a variety of faults, including outage localization load fluctuations. Because these devices are installed in remote locations, the only connections available are long-distance, low data rate wireless channels, such as NB-IoT and LoRaWAN. Raw sensor data cannot be transmitted over these connections. As a result, edge AI is a natural fit.
The RAM-1 performs anomaly detection locally on a low-power microcontroller and only uses the wireless connections to transmit infrequent updates and important notifications.
You can read the full Izoelektro RAM-1 case study here.
The advent of smart grid technologies offers a promising pathway to enhance grid reliability and helps prevent the rapid escalation of simple failures into widespread crises.
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